Health risk behaviours among people with severe mental ill health during the COVID-19 pandemic: Analysis of linked cohort data

PTSD and lower respiratory symptoms: A systematic review of longitudinal associations in early 9/11 World Trade Center responders

OBJECTIVE

The objective of this systematic review is to examine longitudinal associations between post-traumatic stress disorder (PTSD) and lower respiratory symptoms (LRS) specifically among responders present at the World Trade Center (WTC) site on September 11, 2001 (9/11). This group, which we refer to as "9/11 early responders," appears to have particularly high rates of both mental and physical illness relative to other 9/11-exposed populations.

METHODS

We performed a systematic literature review to examine associations between PTSD and LRS among 9/11 early responders in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for systematic reviews. After a structured search of Pubmed and the Fire Department of New York (FDNY) WTC bibliography for relevant articles, we identified 4 articles commenting on associations between PTSD and LRS in this population; all 4 passed quality review and were included in our primary analysis. 10 other articles we found in our research discussed rates of PTSD and LRS, but not associations between them, in the population in question; we commented on these in a secondary analysis.

RESULTS

The data demonstrate that there are significant associations between PTSD and LRS among 9/11 early responders. The data also suggest that both of these phenomena are more prevalent among 9/11 early responders relative to other 9/11-exposed populations.

CONCLUSIONS

These findings are relevant for optimizing care for the population in question, as well as for other survivors of past and future disasters with both psychiatric and medical sequelae.

Health-risk behaviours among people with severe mental ill health: understanding modifiable risk in the Closing the Gap Health Study

BACKGROUND

People with severe mental ill health (SMI) experience some of the largest health inequalities of any sector within society. For these inequalities to be reduced, an understanding of the behavioural determinants of health in this population is needed.

AIMS

Utilising data from the Closing the Gap Health Study, we aimed to assess the extent to which people with SMI report health-risk factors and behaviours, their interest in modifying them, and the factors associated with being motivated to modify these behaviours.

METHOD

Adult (≥18 years old) participants were recruited via primary and secondary care in the English National Health Service. To be eligible, participants needed to have a documented diagnosis of schizophrenia, psychotic disorders or bipolar disorder. Data were collected by survey on demographics, general physical health, diet, physical activity, alcohol, smoking and body mass index.

RESULTS

Between April 2016 and March 2020, n = 9914 participants were recruited. Among people with SMI, high rates of obesity (37.5%), infrequent physical activity (62.0%), not meeting current guidelines (≥5) for the consumption of fruit and vegetables (85.0%) and smoking (42.2%) were observed. However, most participants were motivated to reduce health-risk behaviours. Perceiving the importance of health-promoting behaviours, being of poorer general health and being female were significantly associated with being motivated to modify health-risk behaviours.

CONCLUSIONS

Despite experiencing poor physical and mental health outcomes compared with the general population, and contrary to popular misconceptions, people with SMI perceive health as important and are motivated to make behavioural changes to improve health.

Influences on the physical and mental health of people with serious mental ill-health during the COVID-19 pandemic: a qualitative interview study

PURPOSE

People with severe mental ill-health (SMI) experience profound health inequalities. The Optimizing Wellbeing in Self-isolation study (OWLS) explored the effects of the COVID-19 pandemic restrictions on people with SMI, including how and why their physical and mental health may have changed during the pandemic.

METHODS

The OLWS study comprised two surveys and two nested qualitative studies. Of 367 people recruited to the study, 235 expressed interest in taking part in a qualitative interview. In the first qualitative study eighteen interviews were conducted with a purposive sample of participants.

RESULTS

We identified six factors which influenced peoples' health, positively and negatively: Staying Physically Active; Maintaining a Balanced and Healthy Diet; Work or Not Working; Daily Routine and Good Sleep; Staying Connected to Family, Friends and the Local Community; and Habits, Addictions and Coping with Anxiety Created by the Pandemic.

CONCLUSIONS

Different aspects of lifestyle are highly interconnected. For people with SMI, loss of routine and good sleep, poor diet and lack of exercise can compound each other, leading to a decline in physical and mental health. If people are supported to understand what helps them stay well, they can establish their own frameworks to draw on during difficult times.

Sleep health among people with severe mental ill health during the COVID-19 pandemic: Results from a linked UK population cohort study

Objectives

Sleep problems are a transdiagnostic feature of nearly all psychiatric conditions, and a strong risk factor for initial and recurrent episodes. However, people with severe mental ill health (SMI) are often excluded from general population surveys, and as such the extent and associates of poor sleep in this population are less well understood. This study explores sleep health in an SMI sample during the COVID-19 pandemic, using multiple regression to identify risk factors, including daily routine, wellbeing and demographics.

Methods

An existing cohort of people with an SMI diagnosis were sampled. Participants were invited to complete a self-report survey about their health and the impacts of COVID-19 and associated public health measures. Sleep duration, efficiency, and quality were measured using items from the Pittsburgh Sleep Quality Index (PSQI).

Results

Two hundred forty-nine adults (aged 21-84 years) completed the survey. Mean sleep duration and efficiency were similar to general population estimates, at 7 h 19 min and 78%, respectively. However, 43% reported "bad" sleep quality that was associated with being younger in age as well as disturbed routine and declined wellbeing. Indeed, 37% reported a disturbed routine during the pandemic.

Conclusions

High estimates of perceived poor sleep quality in the SMI population align with previous findings. Supporting people with SMI to maintain routine regularity may work to protect sleep quality and wellbeing. Future research should more closely examine sleep health in people with SMI, using accessible and scalable measures of objective and subjective sleep, examining longitudinal trends.

Can we better understand severe mental illness through the lens of Syndemics?

Current health care systems do not sufficiently address contributors, also known as modifiable behavior factors, to severe mental illnesses (SMI). Instead treatment is focused on decreasing symptom-experience rather than reducing the detrimental effect of biological predisposition and behavioral influences on illness. Health care services and patients alike call for a more comprehensive, individual approach to mental health care, especially for people with SMI. A Syndemics framework has been previously used to identify ecological and social contributors to an HIV epidemic in the 1990s, and the same framework is transferable to mental health research to identify the relationship between contributing factors and the outcomes of SMI. Using this approach, a holistic insight into mental illness experience could inform more effective health care strategies that lessen the burden of disease on people with SMI. In this review, the components of a Syndemic framework, the scientific contributions to the topic so far, and the possible future of mental health research under the implementation of a Syndemic framework approach are examined.